To see all Research Highlights of the Navy Center for Applied Research in Artificial Intelligence, select "Research Highlights" in the tab menu above.

Change points or naturally occurring breaks in accelerated speech affect comprehension. Naturally Occurring Change Points in Navy Radio Communications

The project addresses the problem of monitoring multiple radio communication channels. By acceleration and serialization of radio traffic from concurrently active channels. Using these techniques, Navy watch standers have an increased comprehension of the communication channels, and miss less communications. Building on related work being conducted at NRL, a series of experiments are designed to determine to what extent the skill of attending to and understanding accelerated speech can be trained, and whether or not individual differences in memory and executive factors contribute to task performance in complex auditory domains.

ROC Curve for error model Predicting and Preventing Errors

Even when people know how to do a task very well, errors still occur: People forget to check their blind spot when driving or they leave their original on the glass after making a copy. Our goal is three-fold: to understand why people make errors, to build models that take that understanding and predict when someone is going to make an error, and then to prevent that error before it happens.

Tactile sensors attached to an MDS robot Robotic Touch Sensing, Manipulation, and Fault Detection

The objective of the Robotic Touch Sensing project is to develop an artificial sensate skin for robots to extend the perceptual capabilities of robotic manipulators to include touch. Under this effort we are developing tactile sensor arrays using piezoresistive sensing elements and have demonstrated a method for determining the location and magnitude of a contact (or contacts) for a multi-touch artificial skin by analyzing the responses from the sensors embedded within the skin.

Diagram of physicomimetic control law based on gravity. Swarm Control using Physicomimetics

Swarm intelligence is characterized by the emergence of collective capabilities from simple autonomous agents resulting from local interactions between the agents and their environment. Natural examples of swarm intelligence (e.g., colonies of ants) have led to the development of a number of distributed approaches to controlling agents. The method of swarm control we will use in this project is called physicomimetics. This method is based on an artificial physics representation in which agents behave as point-mass particles and respond to artificial forces generated by local interactions with nearby particles. We have developed a generalized form of physicomimetics that supports heterogeneous agents through multiple particle types and multiple force laws.

Example result. Trinocular Structured Light System

TSLS is a project motivated by the need to provide real time protection of moving convoys from attack by ambush with small arms. Our approach is to develop a 3D machine vision system which can detect the weapons by shape. Rocket propelled grenades (RPGs) and similar weapons are a great threat to our forces, in part because of their low cost and easy availability to our asymmetrical adversaries.

Unifying Inference through Attention Unifying Inference through Attention

This research program has as its goal the development of a cognitive system that acquires strategies for controlling inference. Much like humans can learn to solve mathematical equations, prove logical theorems, analyze filmic metaphor, and construct legal arguments, a broadly intelligent system must be able to develop new forms of reasoning about the world. We claim that the manipulation of attention, directing it toward specific thoughts and perceptions, provides a way to carry out different kinds of reasoning. Moreover, learning attention strategies involves attending to trains of thought that make sense of the world.

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